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2013 IEEE International Conference on Medical Imaging Physics and engineering

作者： Lei Zeng Jian Chen Li Tong Bin Yan Xijian Ping National Digital Switching System Engineering &Technology R&D Center

Many images suffer from poor *** is necessary to enhance the contrast of *** enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the *** equalization(HE) is widely used for contrast enhancement in a variety of applications due to its simple function and ***,it usually results in excessive contrast enhancement,which causes the unnatural look and visual artifacts of the processed *** improved algorithms,such as Brightness preserving Bi-Histogram Equalization,recursive Mean-Separate Histogram Equalization,dual Sub-Image Histogram Equalization and so on,are devoted to preserving the input image brightness and will be disappointed when the input image has low luminance.A novel method based on histogram similarity is developed to overcome the drawbacks of the classic HE algorithms for gray scale *** to some of the conventional HE methods,the proposed method produces better contrast and image quality.

关键词： Contrst enhancement,Histogram equalization,BBHE,dSIHE,Similarity

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31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part one: national Harbor, Md, USA. 9-13 November 2016

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J Immunother Cancer 2016年第SUPPL 1期4卷 1-1页

作者： Andreas Lundqvist Vincent van Hoef Xiaonan Zhang Erik Wennerberg Julie Lorent Kristina Witt Laia Masvidal Sanz Shuo Liang Shannon Murray Ola Larsson rolf Kiessling Yumeng Mao John-William Sidhom Catherine A. Bessell Jonathan Havel Jonathan Schneck Timothy A. Chan Eliot Sachsenmeier david Woods Anders Berglund rupal ramakrishnan Andressa Sodre Jeffrey Weber roberta Zappasodi Yanyun Li Jingjing Qi Philip Wong Cynthia Sirard Michael Postow Walter Newman Henry Koon Vamsidhar Velcheti Margaret K. Callahan Jedd d. Wolchok Taha Merghoub Lawrence G. Lum Minsig Choi Archana Thakur Abhinav deol Gregory dyson Anthony Shields Cara Haymaker Marc Uemura ravi Murthy Marihella James daqing Wang Julie Brevard Catherine Monaghan Suzanne Swann James Geib Mark Cornfeld Srinivas Chunduru Sudhir Agrawal Cassian Yee Jennifer Wargo Sapna P. Patel rodabe Amaria Hussein Tawbi Isabella Glitza Scott Woodman Wen-Jen Hwu Michael A. davies Patrick Hwu Willem W. Overwijk Chantale Bernatchez Adi diab Erminia Massarelli Neil H. Segal Vincent ribrag Ignacio Melero Tara C. Gangadhar Walter Urba dirk Schadendorf robert L. Ferris roch Houot Franck Morschhauser Theodore Logan Jason J. Luke William Sharfman Fabrice Barlesi Patrick A. Ott Laura Mansi Shivaani Kummar Gilles Salles Cecilia Carpio roland Meier Suba Krishnan dan Mcdonald Matthew Maurer Xuemin Gu Jaclyn Neely Satyendra Suryawanshi ronald Levy Nikhil Khushalani Jennifer Wu Jinyu Zhang Fahmin Basher Mark rubinstein Mark Bucsek Guanxi Qiao Cameron Macdonald Bonnie Hylander Elizabeth repasky Shilpak Chatterjee Anusara daenthanasanmak Paramita Chakraborty Kyle Toth Megan Meek Elizabeth Garrett-Mayer Michael Nishimura Chrystal Paulos Craig Beeson Xuezhong Yu Shikhar Mehrotra Fei Zhao Kathy Evans Christine Xiao Alisha Holtzhausen Brent A. Hanks Nicole Scharping Ashley V. Menk rebecca Moreci ryan Whetstone rebekah dadey Simon Watkins robert Ferris Greg M. delgoffe Jonathan Peled Sean devlin Anna Staffas Melissa Lumish Kori Porosnicu rodriguez Katya Ahr Miguel Perales Sergio Giralt Ying Taur Eric Pam Karolinska Institutet Stockholm Stockholms Lan Sweden Weill Cornell Medical College New York NY USA Nova Southeastern University Cell Therapy Institute Fort Lauderdale FL USA Johns Hopkins University School of Medicine Baltimore MD USA Immunology Program Johns Hopkins University School of Medicine Columbia MD USA Memorial Sloan Kettering Cancer Center New York NY USA Johns Hopkins Medical Institute Baltimore MD USA University of Rochester Monrovia MD USA NYU Langone Medical Center New York NY USA H. Lee Moffitt Cancer Center Tampa FL USA Ludwig Collaborative Laboratory Memorial Sloan Kettering Cancer Center New York NY USA Immune Monitoring Core Facility Memorial Sloan Kettering Cancer Center New York NY USA Leap Therapeutics Cambridge MA USA Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA Case Western Reserve University Cleveland OH USA Cleveland Clinic Main Campus Cleveland OH USA University of Virginia Cancer Center Charlottesville VA USA Stony Brook University Medical Center Stony Brook NY USA Karmanos Cancer Institute Detroit MI USA University of Texas MD Anderson Cancer Center Houston TX USA Idera Pharmaceuticals Inc. Cambridge MA USA Institut Gustave Roussy Villejuif Ile-de-France France Center for Applied Medical Research (CIMA) University of Navarra Pamplona Navarra Spain University of Pennsylvania Philadelphia PA USA Earle A. Chiles Research Institute Providence Cancer Center Portland OR USA Universitätsklinikum Essen Essen Nordrhein-Westfalen Germany University of Pittsburgh Pittsburgh PA USA CHU Rennes Service Hématologie Clinique and INSERM 0203 Unité d’Investigation Clinique Rennes Bretagne France Centre Hospitalier Régional Universitaire de Lille Lille Nord-Pas-de-Calais France Simon Cancer Center Indiana University Indianapolis IN USA University of Chicago School of Medicine Chicago IL USA Johns Hopkins University School of Medicine Lutherville MD USA Multidisciplinary Oncology and Therapeuti

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A Clustered dynamic Point Split Algorithm for Packet Classification

A Clustered Dynamic Point Split Algorithm for Packet Classif...

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IEEE Global Communications Conference

作者： Weitao Han Peng Yi National Digital Switching System Engineering & Technology R&D Center Zhengzhou China

ISBN: (纸本)9781479913510

Packet classification is a very basic technique in supporting various advanced network services, for example, network measurement, quality of service, flow routing, and so on. Traditional decision tree-based packet classification algorithms often generate many redundant rules. To solve this issue, we propose GroupCuts, which employs two novel ideas. (1) Space relation-ship-based rule clustering: according to the analysis of classifiers, GroupCuts clusters the rules of similar size and then partitions the classifiers into subgroups. Building decision trees in these sub-groups achieves fine space performance. (2) dynamic Point Split: in order to reduce the rule duplication in decision trees, we select multiple rule projection points to accomplish space decomposition. Using simulations of 1,000 to 100,000 rule classifiers, we show that, compared with other existing algorithms, the proposed algorithm achieves an improvement in memory requirement without reducing the search performance.

关键词： Packet classification Quality of service decision tree Memory optimization

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SIFT feature extraction algorithm for image in dCT domain

SIFT feature extraction algorithm for image in DCT domain

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2013 International Conference on Precision Mechanical Instruments and Measurement technology, ICPMIMT 2013

作者： Wu, Zhen Xu, Zhe Zhang, rui-Nian Li, Shao-Mei National Computer Network and Information Security Administration Center Beijing 100029 China National Digital switching System Engineering and Technological R and D Center Zhengzhou 450002 China

ISBN: (纸本)9781629933405

Image feature extraction is an important technology in image matching and retrieval. For the problem of high computational complexity of spatial domain image feature extraction using the SIFT algorithm, and by studying the relationship between dCT coefficient matrix and image, the paper designed the dCT coefficients reduced matrix of image and proposed the algorithm of SIFT feature extraction in dCT domain reduced image. Experiments showed that with the low loss of accuracy in image matching and retrieval, the method proposed can significantly improve the computational efficiency of feature extraction. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Image matching

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3d Image Spectral Segmentation Based on The region Mean Histogram

3D Image Spectral Segmentation Based on The Region Mean Hist...

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International Congress on Image and Signal Processing

作者： Lei Zeng Jian Chen Zhongguo Li Bin Yan Xijian Ping National Digital Switching System Engineering &Technology R&D Center Zhengzhou 450002 China

ISBN: (纸本)9781479927654

Spectral segmentation algorithms can extract the global impression of an image and are widely used in many areas and applications related to image segmentation. Traditional spectral algorithms need to construct affinity matrix based on all the voxels in the 3d image and compute the eigenvectors of the matrix to find the global optimum segmentation. With the growing size of the image, the spatial and computational complexities increase egregiously. We propose a novel approach for solving the problem. rather than focusing on voxel of the 3d image, our approach aims at the gray histogram of the mean of the sub regions generated by region growing method. Our method decreases the affinity matrix dimension to 256×256 at most for gray images, and thus decreases the complexity sharply. The spatial and computational complexities are affected slightly by the image size. We have applied this approach to segmenting 3d Printed Circuit Board (PCB) CT images and found the segmentation results to be very encouraging.

关键词： spectral segmentation 3d image segmentation histogram affinity matrix computational complexity

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Network Traffic Anomaly detection Based on Self-similarity Using FrFT

Network Traffic Anomaly Detection Based on Self-similarity U...

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2013 IEEE 4th International Conference on Software engineering and Service Science

作者： Xiaolong Ye Julong Lan Wanwei Huang Department of National Digital Switching System Engineering Technological R＆D Center

ISBN: (纸本)9781467349970

Since traditional abnormal detection methods have poor performance,and Hurst parameter estimation was affected by non-stationary *** abnormal detection method based on Hurst parameter estimation using Fractional Fourier Transform（FrFT） was *** experimental results show that FrFT estimation method was not affected by nonstationary time series and has better performance on Hurst *** also verify the improvement in the network traffic anomaly detection.

关键词： component self-similarity anomaly detection wavelet FrFT Hurst parameter

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Physical-layer security based on joint scrambling with spatial and frequency resource

Physical-layer security based on joint scrambling with spati...

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International Conference on Information Science and technology (ICIST)

作者： Mingliang Li Kaizhi Huang Zhou Zhong National Digital Switching System Engineering & Technological R&D Center Zhengzhou Henan PRC

ISBN: (纸本)9781467327626

The projection of the random multi-antenna weighted vector structured with spatial scrambling is of constant modulus on the main channel, Eavesdropper can take the advantage of multi-antenna to intercept private information. To solve this problem, we design a kind of physical-layer secrecy method based on the joint scrambling with spatial and frequency resource. Based on the parallel transmission nature of OFdM, we construct a random multiple antenna weighted vector in the each subcarrier, the projection of which on the main channel is equal to a dynamic reference variable. The legitimate user can correctly demodulate the receive signal by this reference variable obtained from the estimation of the reference subcarrier. Meanwhile, because of the difference between the main channel and eavesdropper channel, eavesdropper can't obtain the useful information. The simulation results show that, when the legitimate users can correctly demodulate the received signal, the eavesdropper can't intercept the private information using whether blind equalization or MUSIC-like method.

关键词： Transmitting antennas OFdM Channel estimation Vectors Signal to noise ratio Wireless communication

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A cooperative jamming based security algorithm for multi-user MIMO systems

A cooperative jamming based security algorithm for multi-use...

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International Conference on Information Science and technology (ICIST)

作者： Huawei Song Meiyue Yang Xiangyang Xu Wenyu Luo National Digital Switching System Engineering & Technological R&D Center Zhengzhou Henan PRC

ISBN: (纸本)9781467327626

The existing physical layer security algorithm could guarantee secure communication to a certain extent. However, eavesdropper can get more information from legitimate receivers whose channel condition is worse than other users. In order to improve the system's security, a novel physical layer security algorithm based on cooperative jamming for multiuser MIMO system is proposed in this paper. Firstly, a multi-user MIMO system of security is established, combining transmit beamforming and artificial noise. Then, the status of each user's characteristics is described respectively. And users are divided into a secure communications group and interference group for scheduling according to the characteristics of the user's state. Further, interference group assists the base station interference eavesdropper by adjusting the beamforming weights. Simulation results show that the proposed algorithm can increase the secrecy capacity by 2.4bit/s/HZ averagely, which can improve security for multi-user MIMO system.

关键词： Interference Security MIMO Signal to noise ratio Joints Array signal processing

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Adaptive key generation based on quantization of channel characteristics 3rd

Adaptive key generation based on quantization of channel cha...

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International Conference on Information Science and technology (ICIST)

作者： Qiao dai Jin Liang Kaizhi Huang China National Digital Switching System Engineering & Technological R&D Center Zhengzhou PRC

ISBN: (纸本)9781467327626

Length and mismatch rate of secret bit strings derived from channel characteristics by legitimate users for key generation are affected by quantization algorithm significantly. Existing schemes cannot achieve both a string and a low mismatch rate at the same time because of the static quantization method. In this paper we first propose an adaptive quantization algorithm formed of an quantizer offset with the quantization noise at one side and a quantization-level optimizing method, which maximize the length of secret bit string under the constraint of mismatch rate. Based on this algorithm, a key agreement scheme selection approach is presented to harvest longer bit strings. As a result, an adaptive key generation scheme based on quantization of channel characteristics is proposed using the above methods. With this scheme, bit strings with length close to theoretical limit can be generated, and the mismatch rate is lower than 5%.

关键词： Quantization (signal) Entropy Security Bit error rate Upper bound Signal to noise ratio

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Practical on-line near-duplicate detection for web video

Practical on-line near-duplicate detection for web video

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International Conference on Information Science and technology (ICIST)

作者： Wei Bao Lixin Ji Lixiong Liu National Digital switching System Engineering & Technological R&D Center Zhengzhou Henan PRC

ISBN: (纸本)9781467327626

This paper proposes an alternative point of view on the use of ordinal measures to detect near-duplicate web videos. Ordinal measure fingerprints are first extracted in the core area of videos, and ordinal measures are fast matched based on Transformation distance, and then an asymmetric technique is used to obtain the longest same sub-sequence and detect video copies. Experimental results show that the method has good robustness and distinctiveness.

关键词： Area measurement Feature extraction robustness Internet Length measurement Algorithm design and analysis Image edge detection

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